Journal Adapt: AI Academic Writing Skill Guide

TL;DR

TL;DR: Journal Adapt Writing Skill is a Claude agent skill that reformats research papers for specific academic journals. It handles style guides, citation formats, word limits, and discipline-specific conventions — built initially for economics and social science researchers.

Source and Accuracy Notes

Based on the official WantongC/journal-adapt-writing-skill repository as of June 2026. All capabilities sourced from the repository’s SKILL.md and documentation.

What Is Journal Adapt Writing Skill?

Academics spend an enormous amount of time reformatting papers for different journals. A paper rejected from one journal needs restructuring, restyling, and re-referencing before submission to the next — work that can take days even for minor format differences.

Journal Adapt Writing Skill automates this as an AI agent skill. Give it a draft paper and the target journal’s requirements, and it produces a reformatted version that follows the journal’s style guide, citation format, word limits, and section conventions.

Target Disciplines

Initially focused on economics and social science journals where:

• Formatting requirements are strict and varied
• Citation styles differ significantly between journals (APA, Chicago, Harvard)
• Section structures vary (some want separate literature reviews, others integrate them)
• Word limits are hard constraints that require substantive editing, not just formatting

Repo-Specific Setup Workflow

Prerequisites

• Claude (with skills support) or another skills-compatible AI agent
• Your research paper in a common format (LaTeX, Word, or Markdown)
• The target journal’s author guidelines

Step 1: Install the Skill

git clone https://github.com/WantongC/journal-adapt-writing-skill.git
cp -r journal-adapt-writing-skill ~/.claude/skills/journal-adapt
```text

### Step 2: Prepare Materials

Gather:

- Your paper draft
- The target journal's submission guidelines (URL or PDF)
- Any journal-specific templates (LaTeX class, Word template)
- Your reference list in a structured format (BibTeX preferred)

### Step 3: Run the Adaptation

Activate the skill with specific instructions:

```text
/skill journal-adapt

Target journal: American Economic Review
Current paper: draft.tex
Special requirements: 40-page limit, Chicago author-date citations,
abstract max 150 words, JEL classification codes required
```text

The agent will:

1. Parse your current paper's structure
2. Map sections to the target journal's requirements
3. Reformat citations and references
4. Adjust word count (expanding or condensing as needed)
5. Flag content that doesn't fit the target journal's scope
6. Generate a revision summary of all changes made

## Deeper Analysis

### Beyond Simple Formatting

The skill does more than change citation styles. It:

- **Restructures sections**: Some journals want "Introduction → Literature Review → Methods → Results → Discussion"; others want "Introduction → Theory → Data → Empirical Strategy → Results → Conclusion"
- **Moves content between sections**: Content that belongs in one journal's "Methods" section might belong in another's "Appendix"
- **Adjusts academic tone**: Different journals have different expectations for formality, mathematical notation density, and narrative style

### Citation Intelligence

Working with BibTeX or structured references, the skill can:

- Convert between citation styles (APA ↔ Chicago ↔ Harvard)
- Handle inline citations vs. footnote citations
- Format bibliography entries to journal specifications
- Identify citation gaps where claims need supporting references

### Word Limit Management

The most labor-intensive part of journal adaptation is hitting word limits. The skill can:

- Compress verbose sections while preserving meaning
- Suggest content to move to appendices
- Identify redundant passages
- Flag sections that need expansion based on journal norms

## Practical Evaluation Checklist

- Restructures papers between journal formats, not just reformats citations
- Handles multiple citation styles: APA, Chicago, Harvard, and journal-specific
- Word limit management with compression and expansion guidance
- Discipline-specific conventions for economics and social sciences
- Revision summary showing all changes for author review
- Open-source — no data sent to external services beyond your LLM provider

## Security Notes

- Your paper content is processed by your LLM provider — consider this for pre-publication research
- Use offline/local LLMs for sensitive or embargoed research
- The skill runs locally; only the LLM inference call leaves your machine
- Always review the output before submission — the skill is an assistant, not an authority

## FAQ

**Q: Does this work for STEM papers?**
**A:** The skill is initially optimized for economics and social sciences. STEM papers have different conventions (IMRaD structure, LaTeX-heavy notation) that may or may not be handled well. Test with your specific journal.

**Q: Can it handle multi-author papers with track changes?**
**A:** Not directly. It works best with a clean draft. Merge all author changes first, then run the adaptation.

**Q: What if the journal's style guide is behind a paywall?**
**A:** You can paste the style guide text or provide a URL to a publicly accessible version. The skill works with whatever style information you provide.

**Q: How much human review is needed after adaptation?**
**A:** Plan for a thorough read-through. The skill handles mechanical formatting well but may miss nuanced discipline-specific expectations. Budget 1-2 hours for review per paper.


### Beyond Initial Adaptation: Iterative Refinement

Journal adaptation is rarely a single-pass process. After the initial automated reformatting, authors typically go through two to three rounds of refinement — tightening arguments, addressing reviewer feedback, adjusting to fit the journal's editorial voice. The skill supports this iterative workflow by maintaining a change log, so authors can see what was modified in each pass and selectively revert changes that don't work.

### Limitations and Human Judgment

The skill handles mechanical formatting well but struggles with subjective editorial decisions: which references are truly essential, whether a methodological detail belongs in the main text or appendix, how to frame results for a specific journal's audience. These require domain expertise and human judgment. The skill's value is automating the tedious eighty percent of adaptation — citation formatting, section restructuring, word count management — so authors can focus on the substantive twenty percent.

**Q: Does it handle LaTeX math and equations correctly?**
**A:** Yes. The skill preserves LaTeX math environments through the adaptation process. Citation commands are converted to the target style, but mathematical content remains unchanged. For journals with specific equation formatting requirements, manual adjustments may still be needed.

## Conclusion

Journal Adapt Writing Skill tackles one of academia's most tedious tasks: reformatting papers for different journals. By automating the mechanical aspects — citation conversion, section restructuring, word count management — it frees researchers to focus on substantive improvements. For economists and social scientists who regularly submit to multiple journals with different formatting requirements (which is most of them), this skill can save days per submission cycle. The discipline-specific conventions make it more valuable than general-purpose AI formatting, and the open-source model means it can be extended to additional fields over time.